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Probabilistic Method/for Evaluating Wind Power Heating Improving the Accommodation Capacity of Renewable Energy Power System

机译:概率方法/用于评估风电加热,提高可再生能源电力系统的容纳能力

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Wind power heating, as a new form of wind power utilization, uses surplus wind power at low load for thermal power stations, which is expected to alleviate the wind power curtailment in North China in winter. However, current evaluation of the effect of this model is lacking and with single perspective. The current research fails to guide the planning for the future development of the heat-power combined system. In this paper, a multi-process probabilistic model is established through probabilistic production simulation on medium and long-term time scale. Then, this paper analyzes the operation mechanism of wind power heating and its impact on power and thermal systems, and establishes the accommodation effect evaluation model. The simulation results show that the model can effectively calculate the effectively accommodated power at different powers and operation times of the thermal power station, and prove the effectiveness of the method.
机译:风电加热作为一种新的风力电力利用形式,使用剩余的风力在低负荷下进行热力电站,预计在冬季将缓解华北风力缩减。但是,目前对该模型效果的评估缺乏和单一的视角。目前的研究无法指导规划,以便将来的电力相关系统的发展。在本文中,通过概率生产模拟在中等和长期时间尺度上建立了多流程概率模型。然后,本文分析了风电加热的运行机制及其对电力和热系统的影响,并建立了容纳效果评估模型。仿真结果表明,该模型可以有效地计算热电站不同功率和操作时间的有效适应的功率,并证明该方法的有效性。

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